Ornith-1.5-35B-A3B-MLX-4bit
Chirp Chirp! 🐦 We are introducing Ornith-1.5, a major step toward building foundation models through end-to-end self-improvement.
Params
34.7 B
Context
—
Downloads 30d
173 K
Likes
42
Download history
daily snapshots · 35 days
▲ 26 K in the last 30 days (13.2%)
200 K163 K
Sep 26Oct 6Oct 16Oct 25
200 K163 K
Sep 21Oct 2Oct 14Oct 25
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | u32 | 19.5 GB | 27.2 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Run it
copy-paste, exact tags checked against the Hub$ curl -s https://aimodelscomparison.com/api/v1/models/ornith-1-5-35b-a3b-mlx-4bit
{
"hf_id": "ornith-ai/Ornith-1.5-35B-A3B-MLX-4bit",
"params_b": 34.66,
"context_length": null,
"license": { "id": "", "commercial": "unknown" },
"downloads_30d": 173412,
"vram_estimates": [
{ "quant": "u32", "gb": 27.2 }
],
"updated_at": "2026-09-21T01:00:25Z"
}
Specifications
- Architecture
- Qwen3_5MoeForConditionalGeneration
- Parameters
- 34.7 B
- Tensor type
- U32
- First seen on the Hub
- 2026-08-18
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-21
Compare with any text-generation model